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DBMS > BigObject vs. Kyligence Enterprise vs. LeanXcale vs. OrigoDB

System Properties Comparison BigObject vs. Kyligence Enterprise vs. LeanXcale vs. OrigoDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonLeanXcale  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesA distributed analytics engine for big data, built on top of Apache KylinA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA fully ACID in-memory object graph database
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSKey-value store
Relational DBMS
Document store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websitebigobject.iokyligence.io/­kyligence-enterprisewww.leanxcale.comorigodb.com
Technical documentationdocs.bigobject.ioorigodb.com/­docs
DeveloperBigObject, Inc.Kyligence, Inc.LeanXcaleRobert Friberg et al
Initial release2015201620152009 infounder the name LiveDB
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
LinuxLinux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collections
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono infocan be achieved using .NET
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI SQL for queries (using Apache Calcite)yes infothrough Apache Derbyno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
.NET Client API
HTTP API
LINQ
Supported programming languagesC
Java
Scala
.Net
Server-side scripts infoStored proceduresLuayes
Triggersnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlnoRole based authorization

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More resources
BigObjectKyligence EnterpriseLeanXcaleOrigoDB
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10 August 2021, VentureBeat

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9 November 2022, AWS Blog

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provided by Google News



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